You are performing feature engineering on a dataset. You must add a feature named CityName and populate the column value with the text London. You need to add the new feature to the dataset. Which Azure Machine Learning Studio module should you use?
Everything you use as an input for you model is a feature. So if you add a column in your pipeline it will be used as a feature unless you filter it out somewhere or specify not to use it.
Why the Others Are Incorrect:
A. Edit Metadata Changes column types, names, or roles—but does not add or populate columns
B. Filter Based Feature Selection Used to rank and select existing features based on statistical metrics—not for adding new features
D. Latent Dirichlet Allocation Used for topic modeling with text data—not relevant for manually adding features
after careful reading of all the threads below, I am going with C. As with edit metadata, you can mark a variable as a feature but can't create a new feature or column that has text as values. You need code for that, which in execute python script.
Well Guys, I do not agree :
answer is correct
By ML studio drag the module , a couple of click and the work is done...
You can achieve it by the script, you can do anything by script, sure, but you're getting lost in a glass of water....
To add a new feature named CityName to a dataset and populate the column value with the text London in Azure Machine Learning Studio, you should use the Execute Python Script module (Option C). Option A (Edit Metadata) is used to modify the metadata of a dataset, such as changing column names or data types, but it cannot be used to add new columns or modify the data itself.
SaM
The correct Azure Machine Learning Studio module to add a new feature named CityName and populate it with the text "London" is:
A. Edit Metadata
The Edit Metadata module in Azure Machine Learning Studio allows you to modify the metadata of your dataset, including adding or renaming columns. In this case, you can use the Edit Metadata module to add a new column named "CityName" and set its value as "London" for every row in the dataset.
Edit Metadata module doesn't allow you to add new column, neither set its values
RTFM
https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/edit-metadata?view=azureml-api-2
The question requires that we populate (alter) the column value but Edit Metadata module does not alter the values and the data types.
From this link: https://docs.microsoft.com/en-us/previous-versions/azure/machine-learning/studio-module-reference/edit-metadata
This article describes how to use the Edit Metadata module in Machine Learning Studio (classic) to change metadata that is associated with columns in a dataset. The values and the data types in the dataset are not actually altered; what changes is the metadata inside Machine Learning that tells downstream components how to use the column.
This section is not available anymore. Please use the main Exam Page.DP-100 Exam Questions
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
RSMCT2011
Highly Voted 5 years, 1 month agokty
3 years, 10 months agoIndranee
4 years agojuandante
4 years, 10 months agoFU_User
2 years, 8 months agoVickyM
Highly Voted 4 years, 8 months agosar77
Most Recent 2 weeks, 3 days agof82411e
2 months agodeyoz
11 months, 1 week agoInversaRadice
1 year, 2 months agoPI_Team
1 year, 6 months agobobML
1 year, 6 months agovv_bb
1 year, 2 months agophdykd
1 year, 6 months agoumair_hanu
1 year, 6 months agofhlos
1 year, 7 months agophdykd
1 year, 11 months agoJTWang
2 years, 3 months agoning
2 years, 8 months agoThornehead
2 years, 10 months agoAjoseO
2 years, 11 months agoeskilos
3 years ago